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-chanlun

文件 笔和线段的一种划分.py,只需要把k线high，low数据输入，就能自动实现笔，线段，中枢，买卖点，走势类型的划分了。可以把sh.csv 作为输入文件。个人简历见.pdf。时间的力量。有人说择时很困难，有人说选股很容易，有人说统计套利需要的IT配套设施很重要。还有人说系统有不可测原理。众说纷纭。分布式的系统，当你的影响可以被忽略，你才能实现，Jiang主席所谓之，闷声发大财。第一周，大盘跌了1%，挣钱了一万，挣了5%。 #股票 #股市 #缠论 https://v.kuaishou.com/bFEl6M Copy this message and open 【Kwai】to view!

2048_env

2048 environment for Reinforcement Learning and DQN algorithm

a-guide-to-deepminds-starcraft-ai-environment

This is the code for "A Guide to DeepMind's StarCraft AI Environment" by Siraj Raval on Youtube

a-star-maze

A* (A-Star) algorithm for finding the shortest path in a maze

a1-qp-mpc-controller

An open source implementation of MIT Cheetah 3 controllers

a3c-crypto-trader

Deep Reinforcement Learning A3C Crypto Trading Bot

a3c-pytorch

PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch

a3c_trading

Trading with recurrent actor-critic reinforcement learning

acme

A library of reinforcement learning components and agents

ai-day-trade-using-reinforcement-learning

This project aims to explore the possibility of using A3C reinforcement learning algorithm to implement an AI day trade agent.

aiengine

Deep learning and deep reinforcement learning for trading

aitrading

Reinforcement Learning for trading cryptocurrencies, stocks and forex

algorithmictrader

Implementation of algorithmic trading using reinforcement learning.

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

alpha-zero-learning

Java based alpha zero reinforcement learning. The generic base module allows implementation of any adversary board game. Example implementation for Tic Tac Toe.

alpha_sigma

A pytorch based Gomoku game model. Alpha Zero algorithm based reinforcement Learning and Monte Carlo Tree Search model.

alphago-zero-paper

AlphaGo-paper

alphago_zero

Implementation of alphago zero in C++

alphazero_gomoku

An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)

arnold

Arnold - DOOM Agent

automatedstocktrading-deepq-learning

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

automatic-trading

code for paper "Automatic Trading in Futures Market via Convolutional Neural Network and Deep Reinforcement Learning"

automatic_stock_trading_with_deep_reinforcement_learning

autotrading_dqn

CS277 Project: Deep Reinforcement Learning in portfolio Management. This repo is the DQN part which implements a trading agent based on the DQN algorithm.

awesome-deep-rl

A curated list of awesome Deep Reinforcement Learning resources.

backtrader

Python Backtesting library for trading strategies

binance-futures-trading-bot

This bot is using a simple M.A.C.D. crossover strategy and with V wap to determine the trend.

btc-rl-trading

A trading bot for bitcoin with reinforcement learning.

btc_rl_trading_bot

A trading bitcoin agent was created with deep reinforcement learning implementations.

capston.3-reinforcement-learning-using-actor-critic-method-on-stocks

Capstone project implementing multi-agent reinforcement learning utilizing deep neural networks